Ubiquitous Networking

8th International Symposium, UNet 2022, Montreal, QC, Canada, October 25–27, 2022, Revised Selected Papers

AvEssaid Sabir,Halima Elbiaze

Häftad, Engelska, 2023

Del 13853 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the 8th International Symposium, UNet 2022, held in Montreal, QC, Canada, during October 25–27, 2022.

Produktinformation

Utgivningsdatum:2023-04-04
Mått:155 x 235 x 19 mm
Vikt:511 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:298
Förlag:Springer International Publishing AG
ISBN:9783031294181

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Spectrum Management and Channel Prediction.- On the Influence of Microscopic Mobility in Modelling Pedestrian Communication.- Low Profile CPW Fed Tri-Band Millimeter Wave Antenna Design for Future 5G Application.- Trading off Controlled System Energy and Wireless Communication Energy.- Statistical Moments of the Temporal Spectrum of Electromagnetic Waves in the Equatorial Ionosphere.- Resource Allocation in 5G/6G.- Towards Facilitating URLLC in UAV-Enabled MEC Systems for 6G Networks.- Resource Allocation and Power Control for Heterogeneous Cellular Network and D2D Communications.- Optimized Network Coding With Real-Time Loss Prediction for Hybrid 5G Networks.- TCP-RTA: Real-Time Topology Adaptiveness for Congestion Control in TCP.- Rio_DSA: Redirecting I/O Scheme for Dynamic Storage Allocation on Docker Container.- Internet of Things and Vehicular Communications.- VANET-Based Traffic Light Management foran Emergency Vehicle.- Deep Reinforcement Learning to Improve Vehicle-to-Vulnerable Road User Communications in C-V2X.- Pervasive Computing for Efficient Intra-UAV Connectivity: Based on Context-Awareness.- Road Accident Analysis of Dhaka City Using Counter Propagation Network.- Artificial Intelligence-Driven Communications.- Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks.- Distributional Reinforcement Learning for VoLTE Closed Loop Power Control in Indoor Small Cells.- Reinforcement Learning Aided Routing in Tactical Wireless Sensor Networks.- A Green and Scalable Clustering for Massive IoT Sensors with Selective Deactivation.- Pervasive Services and Cyber Security.- Threat Mitigation Model With Low False Alarm Rate Based on Hybrid Deep Belief Network.- On Feature Selection Algorithms for Effective Botnet Detection.- A Novel Hybrid Deep Learning Model for Crop Disease Detection Using BEGAN.- Multivariate Skewness and Kurtosis for Detecting Wormhole Attack in VANETs.